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Scalar-matrix-structured ghost imaging_上海光学精密机械研究所

上海光学精密机械研究所 免费考研网/2018-05-06

外文题目: Scalar-matrix-structured ghost imaging
作者: Yang, Chao; Wang, Chenglong; Guan, Jian; Zhang, Chi; Guo, Shuxu; Gong, Wenlin; Gao, Fengli
刊名: Photonics Res.
年: 2016 卷: 4 期: 6 页: 281--285
英文关键词:

SPARSITY CONSTRAINT; PSEUDO-INVERSE; LIGHT
英文摘要:
The features of the characteristic matrix used in linear intensity correlation reconstruction methods are directly related to the quality of ghost imaging. In order to suppress the noise caused by the off-diagonal elements in the characteristic matrix, we propose a reconstruction method for ghost imaging called scalar-matrix-structured ghost imaging (SMGI). The characteristic matrix is made to approximate a scalar matrix by modifying the measurement matrix. Experimental results show that SMGI improves the peak signal-to-noise ratio of the object reconstruction significantly compared with differential ghost imaging, even in the case of a nonzero two-arm longitudinal difference, which is a promising result for practical applications. (C) 2016 Chinese Laser Press


文献类型: 期刊论文
正文语种: English
收录类别: SCI
DOI: 10.1364/PRJ.4.000281


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